Image Processing and Analysis with Graphs: Theory and Practice (Hardcover)
暫譯: 圖像處理與分析:圖形的理論與實踐(精裝版)
Olivier L膾oray, Leo Grady
- 出版商: CRC
- 出版日期: 2012-07-03
- 售價: $4,280
- 貴賓價: 9.5 折 $4,066
- 語言: 英文
- 頁數: 570
- 裝訂: Hardcover
- ISBN: 1439855072
- ISBN-13: 9781439855072
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相關分類:
Computer Vision
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商品描述
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.
Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging
With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions.
Some key subjects covered in the book include:
- Definition of graph-theoretical algorithms that enable denoising and image enhancement
- Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields
- Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets
- Analysis of the similarity between objects with graph matching
- Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging
Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
商品描述(中文翻譯)
涵蓋了圖形在物件表示和分析中的理論方面,《圖形影像處理與分析:理論與實務》同時展示了這些概念對於設計尖端解決方案以應用於現實世界的重要性。
探索計算攝影、影像與視頻處理、計算機圖形學、識別、醫療及生醫影像的新應用
隨著影像產生的爆炸性增長,從數位照片到醫療掃描,基於數位影像的應用數量急劇增加。本書探討了圖形如何成為表示、處理和分析影像的完美統一工具,因為圖形適合通過建模鄰域關係來表示任何離散數據。它還解釋了為什麼圖形非常適合定義圖論算法,這些算法使得功能處理成為可能,並能夠利用組合優化的豐富文獻來產生高效的解決方案。
本書涵蓋的一些關鍵主題包括:
- 定義能夠去噪和影像增強的圖論算法
- 使用圖切割和馬可夫隨機場進行能量最小化和像素標記問題建模
- 使用圖形進行影像處理:目標分割、偏微分方程、數學形態學和小波
- 通過圖形匹配分析物件之間的相似性
- 針對計算攝影、計算機視覺及醫療和生醫影像的特定影像應用,調整和使用圖論算法
圖形的使用在計算機科學中變得非常有影響力,並導致了許多在去噪、增強、修復和物件提取方面的應用。考慮到在影像處理和計算機視覺中使用圖形解決的各種問題,本書是由知名專家撰寫的章節集,針對特定技術或應用進行探討。這本最先進的概述提供了應用範例,說明理論算法的實際應用。作為影像處理和計算機視覺研究生課程的支持材料,它也非常適合作為從事影像處理和分析算法開發與實施的工程師的參考。